Computer Science
ITSC 2021: The Second International Workshop on Application of Multi-Sensor Fusion Technology for Autonomous Driving
Read more: A Workshop on 24th IEEE International Conference on Intelligent Transportation (ITSC2021)
Algorithmics and Computational Intelligence Group (ACI)
The research of the laboratory is centered around techniques and methods for algorithm design and computational intelligence, with the emphasis on both theory and applications. The foundations of the research are machine learning, probabilistic inference, discrete mathematics and theoretical computer science. In particular, the research of kernel methods, Bayesian analysis, probabilistic and information-theoretical modeling, combinatorial algorithms and intelligent systems has been pursued. The research of the laboratory is based on the long tradition of combining basic research on algorithm development and analysis with active cooperation with companies and academic partners on solving real-life problems by the use of combinatorial optimization and latest techniques on computational intelligence methods.
Selected research topics on algorithmics and computational intelligence:
- Classification and regression methods
- Clustering methods
- Combinatorial algorithms and applications
- Cross-validation methods
- Data compression
- Feature selection methods for high-dimensional data
- Industrial algorithms
- Information retrieval
- Information theoretic methods
- Multi-task and transfer learning
- Preference learning and ranking
- Probabilistic Bayesian methods
- String algorithms
- Tensor product kernels for pairwise learning
Recent Publications
- Data analysis with limited data availability: prostate cancer prediction and characterization as a case study
Montoya Perez Ileana - Study on Stereo AI Based Zed-2i Camera
Padberg Timon, Heikkonen Jukka, Kanth Rajeev - Epigenetic age estimation of wild mice using faecal samples
Hanski Eveliina, Joseph Susan, Raulo Aura, Wanelik Klara M., O'Toole Áine, Knowles Sarah C. L., Little Tom J. - Integration of polygenic and gut metagenomic risk prediction for common diseases
Liu Yang, Ritchie Scott C., Teo Shu Mei, Ruuskanen Matti O., Kambur Oleg, Zhu Qiyun, Sanders Jon, Vázquez-Baeza Yoshiki, Verspoor Karin, Jousilahti Pekka, Lahti Leo, Niiranen Teemu, Salomaa Veikko, Havulinna Aki S., Knight Rob, Méric Guillaume, Inouye Michael - Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study
Manzoor Muhammed, Leskelä Jaakko, Pietiäinen Milla, Martinez-Majander Nicolas, Könönen Eija, Niiranen Teemu, Lahti Leo, Sinisalo Juha, Putaala Jukka, Pussinen Pirkko J, Paju Susanna - Pose estimation of sow and piglets during free farrowing using deep learning
Farahnakian Fahimeh, Farahnakian Farshad, Björkman Stefan, Bloch Victor, Pastell Matti, Heikkonen Jukka - Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
Kazemi Kianoosh, Azimi Iman, Liljeberg Pasi, Rahmani Amir M. - Fewer culturable Lactobacillaceae species identified in faecal samples of pigs performing manipulative behaviour
König Emilia, Heponiemi Paulina, Kivinen Sanni, Räkköläinen Jaakko, Beasley Shea, Borman Tuomas, Collado Maria Carmen, Hukkinen Vilja, Junnila Jouni, Lahti Leo, Norring Marianna, Piirainen Virpi, Salminen Seppo, Heinonen Mari, Valros Anna - Association of Long-Term Habitual Dietary Fiber Intake since Infancy with Gut Microbiota Composition in Young Adulthood
Heiskanen MA, Aatsinki A, Hakonen P, Kartiosuo N, Munukka E, Lahti L, Keskitalo A, Huovinen P, Niinikoski H, Viikari J, Rönnemaa T, Lagström H, Jula A, Raitakari O, Rovio SP, Pahkala K - Daily skin-to-skin contact alters microbiota development in healthy full-term infants
Eckermann Henrik Andreas, Meijer Jennifer, Cooijmans Kelly, Lahti Leo, de Weerth Carolina
Recent Publications before 2021
- The Role of Music in 21st Century Education-Comparing Programming and Music Composing (2020)
Samuli Laato, Sampsa Rauti, Erkki Sutinen - Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects (2020)
Julkunen H., Cichonska A., Gautam P., Szedmak S., Douat J., Pahikkala T., Aittokallio T., Rousu J. - Autonomous Corrosion Assessment of Reinforced Concrete Structures Feasibility Study (2020)
Woubishet Zewdu Taffese, Ethiopia Nigussie - Holistic model for designing a climate service application on the KaiOS platform (2020)
Ville Myllynpää, Jani Haakana, Julius Virtanen, Erkki Sutinen - Deep Learning Based Multi-Modal Fusion Architectures for Maritime Vessel Detection (2020)
Fahimeh Farahnakian, Jukka Heikkonen - GeFeS: A generalized wrapper feature selection approach for optimizing classification performance (2020)
Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen - Effects of regular use of scalable, technology enhanced solution for primary mathematics education (2020)
Kurvinen Einari - Predictive models as early warning systems for student academic performance in introductory programming (2020)
Veerasamy Ashok Kumar - Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets (2020)
Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen - Assessing the prediction uncertainty in a route optimization model for autonomous maritime logistics (2020)
Alaleh Maskooki, Petra Virjonen, Markku Kallio